Omnibus testing and gene filtration in microarray data analysis
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Publication:3161663
DOI10.1080/02664760701683528zbMath1206.62083OpenAlexW2149704975MaRDI QIDQ3161663
Hongying Dai, Richard Charnigo
Publication date: 15 October 2010
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760701683528
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)
Related Items (4)
Testing homogeneity in a heteroscedastic contaminated normal mixture ⋮ Testing homogeneity in a scale mixture of normal distributions ⋮ Testing homogeneity in contaminated mixture models ⋮ Contaminated normal modeling with application to microarray data analysis
Cites Work
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- Estimating the dimension of a model
- Likelihood ratio tests in contamination models
- The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
- Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
- A mixture model approach for the analysis of microarray gene expression data.
- Modified likelihood ratio test in finite mixture models with a structural parameter
- The control of the false discovery rate in multiple testing under dependency.
- A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
- The likelihood ratio test for homogeneity in finite mixture models
- Model Selection and Multimodel Inference
- Hypothesis Testing in Mixture Regression Models
- Operating Characteristics and Extensions of the False Discovery Rate Procedure
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